This book investigates the methodologies and challenges involved in acquiring lexical knowledge from large-scale text corpora. Authored by Bran Boguraev, a recognized figure in computational linguistics, the work draws upon extensive research in natural language processing and artificial intelligence. It presents a framework for automatically extracting and organizing word meanings, grammatical information, and semantic relationships from unstructured text, addressing the complexities of ambiguity and context inherent in human language.

This work is recognized within the field of computational linguistics for its foundational contributions to automatic lexical acquisition. It is cited for its rigorous approach to corpus processing and its detailed exploration of the technical challenges in building lexical resources from text. The book is considered a valuable reference for researchers and practitioners in natural language processing and computational lexicography.